Postdoc: AI, Optimization & Workforce Policy

Carnegie Mellon University; False Pass (AK); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits

Tuition benefits

Paid time off

Life insurance

Transit pass

Family concierge support

Fitness center access

Job summary

Carnegie Mellon University invites applications for a Postdoctoral Research Associate to advance research at the nexus of AI, operations research and decision making. You will work with public and private data sets, implement optimization-based models, and collaborate with leading scholars at CMU.

The ideal candidate holds a PhD and demonstrates strong quantitative and programming skills, with a plus for data pipelines and modern AI tools.

Qualifications

• Doctorate degree in a quantitative field such as operations research, economics, CS, or data science.
• Strong communication and problem-solving abilities for collaborative research.
• Experience with data analysis and building data pipelines preferred.

Responsibilities

• Maintain lab equipment and manage supplies.
• Assist in manuscript preparation and grant writing as needed.
• Collect and analyze data from public/private datasets and literature.
• Conduct experiments within the project scope and methodology.
• Collaborate with team members on research outputs.

Skills

Strong communication

Problem-solving

Organization

Reasoning skills

Education

PhD in Operations Research / Economics / Computer Science / Data Science

Tools

Data pipelines

AI tools

Job description

Carnegie Mellon University invites applications for a Postdoctoral Research Associate to advance research at the nexus of AI, operations research and decision making. You will work with public and private data sets, implement optimization-based models, and collaborate with leading scholars at CMU.

The ideal candidate holds a PhD and demonstrates strong quantitative and programming skills, with a plus for data pipelines and modern AI tools.